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Arbitrary fairness in reward and punishments
Ellen R K Evers1, Michael O'Donnell2, Yoel Inbar3
1Department of Marketing, Haas School of Business, University of California, Berkeley.
Journal of Experimental Psychology. General
|November 28, 2022
Summary
People struggle with fairness judgments, often overlooking how units affect reward and punishment distributions. Changing units can manipulate perceptions of fairness, impacting resource allocation significantly.
Area of Science:
- Cognitive Psychology
- Behavioral Economics
- Social Decision-Making
Background:
- Fairness is a fundamental human principle, often equated with equal outcomes for equal actions.
- Existing research highlights the importance of fairness in social interactions and resource distribution.
- The precise definition and application of fairness, particularly concerning units of measurement, remain underexplored.
Purpose of the Study:
- To investigate whether individuals account for the interchangeability of units when making fairness judgments.
- To determine how arbitrary unit choices influence the perceived fairness of reward and punishment distributions.
- To explore the psychological mechanisms underlying fairness perception in resource allocation.
Main Methods:
- Experimental design involving participants judging and distributing resources (e.g., points, money).
- Manipulation of the units used to express outcomes and their associated values.
- Analysis of participant decisions based on salient versus non-salient units.
Main Results:
- Participants demonstrated a failure to consider the interchangeability of units when assessing fairness.
- Judgments of fairness and resource distributions were significantly swayed by the arbitrary choice of units.
- When monetary value was less salient, participants prioritized equal distribution of points, not equal monetary value.
Conclusions:
- The perception of fairness is highly susceptible to the framing of outcomes in different units.
- Arbitrary unit selection can be used to manipulate judgments about fairness and resource allocation.
- Findings have broad implications for various domains where fairness and distribution are critical.
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